Typical Application Scenarios

Gaming

GeminiDB Mongo API allows you to keep track of gaming data like game items or points earned. Adding compute nodes is so easy, making it an excellent choice for high-concurrency scenarios often involved in online gaming.

Advantages:

Flexibility: In the first 6 hours of when a game goes online, game databases have to scale out multiple times. GeminiDB Mongo API is a great choice for you because it lets you add nodes fast to ensure performance as new players come online.
Fast data recovery: Table-level restoration helps you restore gaming data in specific tables to any point in time.
Stability: Storage scaling does not affect your gaming experience.

IoT

GeminiDB is compatible with Cassandra APIs. It can deliver high write performance and is designed for write-intensive scenarios, specifically applied in sectors like manufacturing, logistics, health care, real estate, energy production, and agriculture. It can process the data sent by different types of sensors for further analysis.

Advantages:

High write performance: GeminiDB provides higher write performance than other NoSQL services.
High scalability: Compute nodes can be added in minutes and storage can be scaled up in seconds to handle traffic surges or large write loads at any time.

Internet

E-commerce and entertainment websites that include product catalogs, recommendations, and personalization engines use GeminiDB when they require fast reading and writing of data and high scalability. GeminiDB stores visitor activities, making it easy for analysis tools to access data fast and to generate recommendations.

Advantages:

High write performance: GeminiDB provides higher write performance than other NoSQL services.
Big data analysis: GeminiDB can work with big data tools, such as Spark, to provide recommendations to your customers in real time.